Discovering Causal Drivers at Scale
We discuss the challenges of scaling causal discovery for high-dimensional datasets in order to enable effective decision making in complex...
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Enterprise decision making needs more than LLMs
Following the hype around large language models (LLMs), tools and applications, the question remains, how many enterprise problems today can...
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causaLens named a Cool Vendor by Gartner
causaLens, the London deep tech company and pioneer of Causal […]
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Gartner lists Causal AI as a flagship emerging technology
Technology analysis firm Gartner has named Causal AI in its 2022 Hype Cycle for flagship emerging technologies.
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AI in retail requires cause-and-effect reasoning
Doing more with less is becoming a mantra for the […]
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Explainable AI (XAI) doesn’t explain enough
Current XAI approaches only provide post-hoc explainability. Causal AI generates superior ante-hoc (before the event) explainability.
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causaLens & MayoClinic discover causal biomarkers of cancer
causaLens has utilized its Causal AI technology in an important step towards adopting non-invasive methods for screening and understanding cancer.
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Andre France, Applied Data Science Director, on BBC Newsday
Dr. Franca was invited to the BBC program Newsday to speak about the new EU regulations on AI.
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Time-series analysis: why causality is the only way
Learn how to get the most out of Time-series analysis when you use causality to replace correlation based models.
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